single.fit: A single fit function

In software-analytics/Rnalytica: An R package of JIRA defect datasets and tool suites for explainable software analytics

Description

A single fit function

Usage

single.fit(training.data, testing.data, dep, indep, classifier = "lr",
  classifier.params = list(rf.ntree = 100, rf.mtry = NULL, c5.0.trials =
  40, c5.0.rules = TRUE, c5.0.winnow = FALSE, nb.fL = 0, nb.adjust = 1,
  svm.gamma = NULL, svm.cost = 1), params.tuning = F,
  prob.threshold = 0.5)

Arguments

training.data	a dataframe for training data
testing.data	a dataframe for testing data
dep	a character for dependent variable
indep	a vector of characters for independent variables
classifier	a character for classifier techniques, i.e., lr, rf, c5.0, nb, and svm
classifier.params	a list of parameters for an input classifier technique
params.tuning	a boolean indicates whether to perform parameters tuning
prob.threshold	a numeric for probability threshold (default: 0.5)

software-analytics/Rnalytica documentation built on Aug. 16, 2020, 9:38 p.m.